Start with company knowledge clarity
The foundation of AI GEO is not daily publishing. It is making public company information easier to identify, understand and verify. The first review item should be whether the company name, brand name, core products, service audience, service area and contact information are consistent.
If the website, media articles, video channels and third-party pages still describe the business differently, AI systems may struggle to identify what the company actually offers. The review should list the core facts first, then check which pages and platforms still contain outdated information.
Check whether pages can be crawled
AI search still depends heavily on public pages that can be accessed, crawled and cited. An annual review should inspect the homepage, service pages, product pages, case or scenario pages, insight articles, sitemap and robots file.
For manufacturers, key pages should explain products, applications, technical parameters, service process, pricing boundaries and common questions. A page with only slogans, images and contact details may be crawlable, but it is rarely useful as an evidence source.
- Do titles and descriptions explain the page topic directly?
- Are canonical tags, sitemap entries and internal links correct?
- Do articles show publishing date, update date, author and FAQ?
- Do service pages link to related content and inquiry paths?
Review whether AI descriptions are accurate
The review should not only ask whether the company appears. The more important question is whether AI tools describe it correctly. Core business, service scope, pricing, contact details and boundaries should not be mixed with old or unrelated information.
A practical method is to keep a fixed set of real questions and test them monthly or quarterly. Questions can cover the company name, service direction, industry scenarios, location, pricing, suitability and common buying concerns.
External sources should support the same facts
It is usually not enough for a company to describe itself only on its own website. AI GEO also needs public external sources that help verify the same entity and service information.
This does not mean copying the same article everywhere. A better approach is to let different platforms explain the same facts from different angles: the website holds complete service information, media posts explain viewpoints, Q&A pages answer specific questions, and video platforms show process and context.
Review pricing and boundaries
If AI GEO pricing is public, the annual review should check whether the pricing page explains scope clearly. For example, RMB 26,800 per year for AI optimization / GEO optimization and RMB 46,800 per year for the global version should be tied to scope, keyword range, external source resources and service boundaries.
Pricing helps buyers judge budget fit, but it should not become a promise of fixed rankings, inquiries or every AI recommendation. The review should focus on checkable work: content building, page improvement, external sources, search testing and issue correction.
Decide what to improve next year
The purpose of an annual AI GEO review is not to prove that the previous year must have produced a fixed result. It is to identify the highest-value content gaps for the next cycle.
Common gaps for manufacturers include parameter pages, application pages, pricing explanations, buyer question pages, English pages and inquiry handling pages. If the company already has a website, start from current page structure and AI search behavior; if not, build around one core product line first.
- Which service pages still fail to answer buyer questions clearly?
- Which articles lack evidence, parameters or suitability boundaries?
- Which external platforms still lack a consistent company description?
- Which AI answers included incorrect information that needs public correction?
- Which forms, contact paths or sales materials need improvement?